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Record W7055676438

Cоціальне партнерство «школа - родина - громада»
\nу запобіганні насиллю над жінками та дівчатами в Канаді
\n(Social partnership «school - family - community» in violence against women and girls prevention in Canada)

2017· other· uk· W7055676438 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository of Ostroh Academy (Ostroh Academy) · 2017
Typeother
Languageuk
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipRaising (metalworking)Domestic violencePoison controlSuicide preventionYouth participation
DOInot available

Abstract

fetched live from OpenAlex

Мета статті - проаналізувати специфіку соціального партнерства школа — родина - громада в
\nпрофілактиці та подоланні насилля над представницями жіночої статі в Канаді. Розкрито основні
\nформи, у яких реалізовується така співпраця. Наведено приклади навчальних програм, які діють на
\nбазі шкіл за участі батьків учнів, місцевих громад. Представлено напрацювання канадських
\nгромадських організацій щодо просвіти учнівської молоді з питань насилля над жінками і дівчатами.
\n(The purpose of this article is to analyze the peculiarities of social partnership school - family - community, aimed at prevention and eradication of violence against women and girlsin Canada. The major forms of this cooperation have been examined. Examples of school programmes which function with the participation of school students’ parents and community members have been illustrated. The projectsof Canadian community
\norganizations, targeted at raising awareness of the school youth regarding the issue of violence against women, have been presented.)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.253
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

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